A course for organisations · Pre-registration open
AI at work.
Put judgement
into practice.
Turn occasional AI experiments into a way of working you can trust.
Learn to choose suitable tasks, give clear instructions and check the results. Build a method around the work you actually do.
Free, non-binding pre-registration · Paid course to follow
With Dr Sven Jungmann / AI entrepreneur and co-founder of The Aiomic Age
The guiding idea
Trust is a process.
Define a good result. Check whether it holds up. Measure whether the new way of working helps.
The underlying material is already in use at
- Pharmaceuticals
A leading international pharmaceutical company
- Private equity
A €5 billion German private equity fund
- Business services
A mid-sized revenue cycle management company
That experience informs the online course, now in development.
What you take away
Three outcomes for
your everyday work.
Know which tasks you can hand over.
Assess your work by the consequences of an error and how easily you could spot it. Decide where AI can prepare a draft, where sampling is enough and where your own judgement matters most.
A task map with three levels of review
Turn a first draft into usable work.
Specify the audience, source material and quality standard together. Learn to spot invented facts, missing details and agreement that has not been earned.
A reusable instruction and review checklist
Measure the time saved, then share what works.
Test a recurring task and track the full time it takes, including checking and rework. Use that evidence to decide whether to keep the new approach.
A practical record of what improves in your work
Try the method
It reads well.
What is missing?
Fluent writing can make an omission hard to see.
Try it on an everyday task. In the course, you apply this kind of review to your own documents.
Fictional example · About one minute
Your note
“The procurement lead will review the proposal by Friday at noon. Without approval, the project start will be delayed.”
The AI draft
“The proposal is being reviewed. Approval is required before the project can start.”
Choose an answer to see what to look for when reviewing.
A standard for working together
Match the review
to the consequences.
Two questions set the depth of review: how costly would an error be, and how easy would it be to find? Agree the approach with the people responsible in your organisation.
Zone 1
Delegate
For established tasks with limited consequences if something goes wrong. Review samples and look for omissions.
For example: an internal checklist from an approved template.
Zone 2
Collaborate
AI prepares the draft. You check every sentence against the source and take responsibility for the result.
For example: a summary that others will use to make a decision.
Zone 3
Exercise judgement
AI can gather questions and perspectives. The judgement and the conversation stay with you.
For example: a difficult personnel decision.
Start new tasks with a full review. Five checked attempts help uncover obvious weaknesses; they do not establish reliability. Internal policies still apply.
The planned curriculum
From understanding
to doing.
Five modules bring together short explanations, exercises and practical templates. You work on tasks that already need doing.
The foundation is a workbook with seven rules of thumb, nine habits and 33 instructions for specific roles, drawn from corporate practice.
Hear when the course opens01
Rethink how you divide your work
What changes when drafts become easy to produce? Examine your tasks and identify where expertise, relationships and responsibility matter most.
Your outcome: A shortlist of useful applications for your role.
02
Recognise seven common failure patterns
Missing details, confident errors, easy agreement and lost context: learn how AI outputs go wrong and focus your review on the weaknesses that matter.
Your outcome: A checklist for the errors that would be costly in your work.
03
Give clear instructions and set the right review
Use the 3 + 1 structure to describe the audience, task, format and context. Three review zones help you match the level of checking to the consequences of an error.
Your outcome: A complete instruction with sources and clear boundaries.
04
Improve work that keeps coming back
Organise context about your work, prepare for meetings and have your assumptions challenged. Frame requests so that other people can act on them.
Your outcome: An improved process for a recurring task.
05
Put one task through a four-week trial
Choose a task, record a baseline, check five attempts, refine the approach and share what you learn. The practice template includes questions and corrections in the time you measure.
Your outcome: Evidence for a decision: keep, adapt or stop.
Putting it to work
One task.
Four weeks.
An informed decision.
Whether AI is worth using depends on the whole job: preparation, drafting, checking and follow-up questions. The practice plan makes that work visible.
- 01
Choose and measure
Pick a recurring task. Complete it once without AI and record the time and quality standard.
- 02
Check five attempts
Use AI on the next five occasions. Review each result in full. Extend this phase if you need to.
- 03
Refine the instruction
Add missing context and more precise criteria. Decide what depth of review the task needs.
- 04
Share what you learned
Share the revised instruction and your review findings. Decide whether to keep, change or stop the process.
Register your interest
Bring the method
to your organisation.
Hear when the course opens, what it covers and how your organisation can take part.
- ↳ Free, non-binding pre-registration
- ↳ Individual and organisational enquiries welcome
- ↳ Pricing and course details before you book
The online course is in development. Registering your interest carries no payment or booking commitment.
Your pre-registration
We use your details for this pre-registration and information about this course. Email is sent via Resend. To withdraw consent or request deletion, contact hello@theaiomicage.com. Read more in our privacy notice.
Before you register.
Who is the course for?
Professionals and team leaders whose work involves documents, decisions and coordination. Learning and development leads can also register interest for their organisation. No programming knowledge is required.
Is this only for pharmaceutical companies?
The methods apply across industries. The underlying workbook grew out of a talk and group work with a pharmaceutical clinical-study organisation. The course adapts those examples to everyday work across organisations.
Which tools will I need?
For the practical exercises, you will need access to an AI assistant your organisation has approved for the intended use and data. The course teaches methods you can apply with different assistants.
What will it cost, and when does it start?
This will be a paid course. Pricing, the launch date, learning hours and options for organisations will be announced before booking opens. Pre-registration is free and non-binding. We will let you know when the details are ready.
What does the four-week plan mean?
Four weeks is the suggested period for testing a task in your own work. The course duration and total learning hours will be published with the booking details.
How does this fit with our internal policies?
Your organisation’s approvals, responsibilities and review procedures still apply. You will learn to clarify questions about tools, data and accountability before use. Each application remains subject to the relevant internal approval.
What happens after I pre-register?
You will receive an email with a confirmation link. Once you confirm, we record your interest and send information about this course. You have no obligation to buy and can withdraw your consent at any time.